As a D2C brand operating in India with high COD volume, we strongly feel Shopify needs a dedicated RTO (Return to Origin) status separate from customer-initiated returns.
Currently, Shopify mixes:
RTO (delivery failed / courier return)
with
Customer Returns (buyer intentionally returned product)
These are fundamentally different fulfillment events.
Why this matters
1. Accurate Return Analytics
RTOs are operational/logistics failures, not customer satisfaction issues.
When Shopify combines both into “returns,” it creates misleading return-rate data and makes performance analysis inaccurate.
2. Better Inventory Forecasting
RTO inventory behaves differently from customer returns:
RTOs usually come back unopened
Customer returns may require QC, refurbishing, or rejection
Without separate classification, inventory planning becomes difficult.
3. COD Reconciliation for Indian Brands
This is especially critical for Indian D2C businesses where:
COD orders are extremely common
RTO percentage directly affects profitability
Brands use external 3PL/shipping aggregators
RTO is one of the most important operational metrics for Indian ecommerce brands.
4. Operational Reporting & Automation
A dedicated RTO status would help merchants:
Track courier performance
Analyze fake COD orders
Build RTO reduction workflows
Separate logistics failures from actual returns
Improve reporting accuracy
Suggested Solution
Shopify should introduce:
A separate “RTO” fulfillment/return status
Distinct reporting for RTO vs customer returns
Separate APIs/webhooks for RTO events
Filters in Orders and Analytics dashboards
This feels like a very basic but essential ecommerce feature, especially for emerging markets like India where COD-heavy businesses rely heavily on RTO analysis.
Would love to hear thoughts from other merchants facing the same issue.
Yeah, this becomes messy really fast once ops teams start reconciling COD performance manually.
An RTO and a customer-initiated return are completely different events operationally, but once they both land under “returns,” reporting gets noisy and people start making wrong decisions off the same dashboard.
We’ve seen staff accidentally treat high RTO products as “bad products” when the actual issue was courier coverage or fake COD orders. Then inventory/planning teams start reacting to the wrong problem.
Manual tags work for a while, but they break down once order volume increases or multiple people touch fulfillment.
ran into this exact thing when i was helping a brand analyze their return rates — their “return rate” looked terrible but like 60% of it was RTOs from bad pin codes, not actual product issues. the moment we split those out the data told a completely different story and they stopped killing SKUs that were actually performing fine. has anyone tried using metafields to track RTO reason codes separately?
To get around this, sellers use order tags and automation to separate RTO from customer returns. Shopify Flow or your 3PL or shipping app can also be configured to tag orders as RTO when a fulfillment is marked returned to sender or delivery failed. Customer initiated returns may also proceed via your returns app or returns portal, which distinguishes hashes them differently.
From there, you can generate customized reports via Shopify exports or a BI tool using tags as a filter. It lets you have an accurate analytics and stock planning, with no wait for native status change.